(max, +) DYNAMIC SYSTEMS FOR MODELING TRAFFIC WITH LONG-RANGE DEPENDENCE
نویسنده
چکیده
A simple first-order recurrence in a (max, +) dynamic system is numerically investigated and shown to exhibit statistical long-range dependence, characterized by slowly decaying aggregated variances and power-law evolutions of the autocorrelation and spectrum. We propose this model as a basis for a very parsimonious modeling of some long-range dependent processes such as data traffic.
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